当前位置: X-MOL 学术J. Ind. Ecol. › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Hybridization of complete PLCA and MRIO databases for a comprehensive product system coverage
Journal of Industrial Ecology ( IF 5.9 ) Pub Date : 2020-01-16 , DOI: 10.1111/jiec.12979
Maxime Agez 1 , Richard Wood 2 , Manuele Margni 3 , Anders H. Strømman 2 , Réjean Samson 1 , Guillaume Majeau‐Bettez 1
Affiliation  

Process‐based Life Cycle Assessments (PLCA) rely on detailed descriptions of extensive value chains and their associated exchanges with the environment, but major data gaps limit the completeness of these system descriptions and lead to truncations in inventories and underestimations of impacts. Hybrid Life Cycle Assessments (HLCA) aim to combine the strength of PLCA and Environmentally Extended Input Output (EEIO) analysis to obtain more specific and complete system descriptions. Currently, however, most HLCAs only remediate truncation of processes that are specific to each case study (foreground processes), and these processes are then linked to (truncated) generic background processes from a non‐hybridized PLCA database. A hybrid PLCA‐EEIO database is therefore required to completely solve the truncation problems of PLCA and thus obtain a comprehensive product system coverage. This paper describes the construction of such a database using pyLCAIO, a novel framework and open‐source software enabling the streamlined hybridization of entire PLCA and EEIO databases. We applied this framework to the PLCA database Ecoinvent3.5 and the multiregional EEIO database EXIOBASE 3. Thanks to the correction for truncation in this new hybrid database, the median and average life cycle global warming potential (GWP) of its processes increased by 7% and 14%, respectively. These corrections only reflect the truncations that could be readily identified and estimated in a semi‐automated manner; and we anticipate that further database integration should lead to higher levels of correction in the future.

中文翻译:

完整的PLCA和MRIO数据库的混合,以涵盖全面的产品系统

基于过程的生命周期评估(PLCA)依赖于广泛的价值链及其与环境的关联交换的详细描述,但是主要的数据缺口限制了这些系统描述的完整性,并导致库存被截断和影响的低估。混合生命周期评估(HLCA)旨在将PLCA的优势与环境扩展输入输出(EEIO)分析相结合,以获得更具体,完整的系统描述。但是,当前,大多数HLCA仅补救针对每个案例研究的过程的截断(前景过程),然后将这些过程与未混合的PLCA数据库中的(被截断的)通用背景过程链接。因此,需要一个混合的PLCA-EEIO数据库来完全解决PLCA的截断问题,从而获得全面的产品系统覆盖范围。本文介绍了使用pyLCAIO构建的这种数据库,pyLCAIO是一种新颖的框架和开源软件,可实现整个PLCA和EEIO数据库的简化混合。我们将此框架应用于PLCA数据库Ecoinvent3.5和多区域EEIO数据库EXIOBASE3。由于对这个新的混合数据库中的截断进行了更正,其过程的中值和平均生命周期全球变暖潜能(GWP)增长了7%。和14%。这些更正仅反映了可以以半自动化方式轻松识别和估计的截断;
更新日期:2020-01-16
down
wechat
bug